Name
Abstract | ||
|---|---|---|
Extensive research activities are recently directed towards the Semantic Web as a future form of the Web. Consequently, Web search as the key technology of the Web is evolving towards some novel form of Semantic Web search. A very promising recent approach to such Semantic Web search is based on combining stan- dard Web search with ontological background knowledge and using standard Web search engines as the main inference motor of Semantic Web search. In this paper, we propose to further enhance this approach to Semantic Web search by the use of inductive reasoning techniques. This adds especially the important ability to handle inconsistencies, noise, and incompleteness, which are very likely to occur in dis- tributed and heterogeneous environments, such as the Web. We report on a prototype implementation of the new approach and extensive experimental results. |
Year | Venue | Keywords |
|---|---|---|
2010 | SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management | semanticweb search,recent approach,inductive reasoning,semantic web search,ontological background knowledge,search query,new knowledge,web search,new approach,standard web search engine |
Field | DocType | Volume |
Data mining,Web intelligence,Semantic Web Stack,Computer science,Semantic Web,Web modeling,Artificial intelligence,Social Semantic Web,Semantic search,Information retrieval,Web standards,Data Web,Machine learning | Conference | 6379 |
ISSN | ISBN | Citations |
0302-9743 | 3-642-15950-8 | 6 |
PageRank | References | Authors |
0.56 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claudia D'Amato | 1 | 733 | 57.03 |
| Nicola Fanizzi | 2 | 1124 | 90.54 |
| Bettina Fazzinga | 3 | 201 | 26.05 |
| Georg Gottlob | 4 | 9594 | 1103.48 |
| Thomas Lukasiewicz | 5 | 2618 | 165.18 |